Maciej Hojda

Wrocław University of Science and Technology, AGH University of Krakow

Papers

Total Citations

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About

Maciej Hojda’s research lies at the intersection of multi-robot systems, task allocation, and dynamic decision-making. His work addresses a critical challenge in robotics: how to efficiently assign and route tasks among robots with multi-modal capabilities—where tasks require coordinated effort from multiple agents in a shared workspace. Hojda’s contributions include developing algorithms for joint task allocation and routing in complex, constrained environments, enabling robot teams to adapt to real-time changes. His most cited paper, “Task allocation in robot systems with multi-modal capabilities” (2015, 3 citations), lays foundational groundwork for coordinating heterogeneous robots in dynamic settings. Subsequent studies, such as “Task allocation for multi-robot teams in dynamic environments” (2017, 2 citations) and “Comparison of Algorithms for Constrained Multi-robot Task Allocation” (2016, 2 citations), further advance scalable solutions for real-world applications like warehouse logistics and disaster response. While his citation counts reflect an emerging career, Hojda’s focus on constrained, multi-modal coordination positions him as a thoughtful contributor to the field of distributed robotics. His work offers practical insights for researchers tackling the complexity of teamwork in autonomous systems.